midAutoencoders
What is a stacked autoencoder?
Updated May 5, 2026
Short answer
A stacked autoencoder has multiple hidden layers in encoder and decoder.
Deep explanation
It increases depth to learn hierarchical feature representations. Each layer learns progressively abstract features.
Real-world example
Used in deep feature learning for vision tasks.
Common mistakes
- Not tuning depth leading to overfitting.
Follow-up questions
- Why stack layers?
- Is deeper always better?